Research Article
Work-In-Progress: Adaptive Population Artificial Bee Colony for Numerical Optimization
@INPROCEEDINGS{10.4108/icst.iniscom.2015.258339, author={Chun Ling Lin and Sheng Ta Hsieh and Shih Yuan Chiu}, title={Work-In-Progress: Adaptive Population Artificial Bee Colony for Numerical Optimization}, proceedings={1st International Conference on Industrial Networks and Intelligent Systems}, publisher={ICST}, proceedings_a={INISCOM}, year={2015}, month={4}, keywords={adaptive population; artificial bee colony; cross-over; numerical optimization; population manager}, doi={10.4108/icst.iniscom.2015.258339} }- Chun Ling Lin
Sheng Ta Hsieh
Shih Yuan Chiu
Year: 2015
Work-In-Progress: Adaptive Population Artificial Bee Colony for Numerical Optimization
INISCOM
ICST
DOI: 10.4108/icst.iniscom.2015.258339
Abstract
In this paper, an adaptive population artificial bee colony (APABC) is proposed. In APABC, the population size of proposed ABC variant is not a fix but variable. The population size of APABC will be dynamically increased or decreased by population manager according to current solution searching status. It can enhance bees’ searching ability and increase population utilization. Thus, In order to test the efficiency of proposed method, fifteen test functions of CEC 2005, which include uni-modal and multi-modal functions, are adopted to test proposed method and compare it with original ABC. From the results, it can be observed that the APABC performs better on most test functions with 50 dimensions.
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